Literature DB >> 32402823

Factors influencing pedestrians' decision to cross the road by risky rolling gap crossing strategy at intersections in Dhaka, Bangladesh.

Niaz Mahmud Zafri1, Rashada Sultana2, Md Rakibul Hasan Himal3, Tanzila Tabassum4.   

Abstract

Pedestrian road-crossing strategy is one of the most important pedestrian road-crossing behaviors. The safety of the pedestrians often depends on it. Among the road-crossing strategies, rolling gap crossing strategy is the riskiest one. The objective of this research was to explore the factors that influenced pedestrians' decision to cross the road by rolling gap crossing at intersection. Data regarding road-crossing strategy of the pedestrians, their characteristics, their road-crossing behavior, intersection geometry, and traffic environmental condition were collected through videography survey method, on-site observation, and secondary source from six intersections of Dhaka, Bangladesh. A binary logistic regression model was developed in this study by using the collected data. Results of the developed model showed that seven statistically significant factors strongly influenced pedestrians' decision to cross the road by rolling gap crossing at intersections. These factors were intersection control type, median width, vehicle flow, available gap on the road, age group of the pedestrians, their crossing group size, and their behavior of crosswalk usage. The results of this study would help the policymakers to take proper interventions to alleviate pedestrian safety problems.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  Binary logistic regression; Dhaka; Pedestrian road-crossing behavior; Pedestrian safety; Pedestrians’ decision-making process; Rolling gap crossing strategy

Year:  2020        PMID: 32402823     DOI: 10.1016/j.aap.2020.105564

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

1.  Investigating the fatal pedestrian crash occurrence in urban setup in a developing country using multiple-risk source model.

Authors:  Dipanjan Mukherjee; Sudeshna Mitra
Journal:  Accid Anal Prev       Date:  2021-11-10
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.